Machine Learning with Matlab: Supervised Learning Using Predictive Models. Regression |
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Author:
| Vidales, A. |
ISBN: | 978-1-7954-1838-6 |
Publication Date: | Jan 2019 |
Publisher: | Independently Published
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Book Format: | Paperback |
List Price: | USD $22.50 |
Book Description:
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This book develops machine learning techniques of supervised analysis with continuous dependent variable and continuous independent variables. Specifically, he develops the regression model including the phases of identification, estimation, diagnosis and prediction. Among the types of regression models incorporated, the following stand out:Multiple linear regression modelStandard Least-Squares FitGeneralized Linear ModelsStepwise RegressionRobust RegressionRidge RegressionLasso and...
More DescriptionThis book develops machine learning techniques of supervised analysis with continuous dependent variable and continuous independent variables. Specifically, he develops the regression model including the phases of identification, estimation, diagnosis and prediction. Among the types of regression models incorporated, the following stand out:Multiple linear regression modelStandard Least-Squares FitGeneralized Linear ModelsStepwise RegressionRobust RegressionRidge RegressionLasso and Elastic NetWide Data via Lasso and Parallel ComputingLasso RegularizationLasso and Elastic Net with Cross ValidationLinear Mixed-Effects ModelFit Mixed-Effects Spline Regression